Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks

7 May 2020

Papers citing "Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks"

50 / 60 papers shown

Title
Learning Transferable Friction Models and LuGre Identification via Physics Informed Neural Networks Asutay Ozmen João P. Hespanha Katie Byl 64 0 0 16 Apr 2025
Neural Variable-Order Fractional Differential Equation Networks Wenjun Cui Qiyu Kang Xuhao Li Kai Zhao Wee Peng Tay Weihua Deng Yidong Li 87 4 0 20 Mar 2025
Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy Avisha Kumar Xuzhe Zhi Zan Ahmad Minglang Yin A. Manbachi MedIm AI4CE 87 0 0 20 Dec 2024
PACMANN: Point Adaptive Collocation Method for Artificial Neural Networks Coen Visser Alexander Heinlein Bianca Giovanardi 94 1 0 29 Nov 2024
Physics and Deep Learning in Computational Wave Imaging Youzuo Lin Shihang Feng J. Theiler Yinpeng Chen Umberto Villa Jing Rao John Greenhall Cristian Pantea M. Anastasio B. Wohlberg 63 1 0 10 Oct 2024
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis Hyunwoo Lee Hayoung Choi Hyunju Kim 72 2 0 03 Oct 2024
DiffGrad for Physics-Informed Neural Networks Jamshaid Ul Rahman Nimra PINN ODL 37 1 0 05 Sep 2024
NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements K. Shukla Zongren Zou Chi Hin Chan Additi Pandey Zhicheng Wang George Karniadakis PINN 86 9 0 30 Jul 2024
Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations Wei Zhou Y. F. Xu AI4CE PINN 88 2 0 15 Jul 2024
VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior Seungchan Ko Sang Hyeon Park 74 5 0 10 Jun 2024
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN) Chenhao Si Ming Yan AI4CE PINN 70 4 0 05 Jun 2024
A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks K. Shukla Juan Diego Toscano Zhicheng Wang Zongren Zou George Karniadakis 133 85 0 05 Jun 2024
Physics and geometry informed neural operator network with application to acoustic scattering S. Nair Timothy F. Walsh Greg Pickrell Fabio Semperlotti AI4CE 84 2 0 02 Jun 2024
A Study on Unsupervised Anomaly Detection and Defect Localization using Generative Model in Ultrasonic Non-Destructive Testing Yusaku Ando Miya Nakajima Takahiro Saitoh Tsuyoshi Kato 45 2 0 26 May 2024
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics Michael Penwarden H. Owhadi Robert M. Kirby AI4CE 64 1 0 16 Feb 2024
Speeding up and reducing memory usage for scientific machine learning via mixed precision Joel Hayford Jacob Goldman-Wetzler Eric Wang Lu Lu 97 9 0 30 Jan 2024
Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks Svenja Ehlers Niklas A. Wagner Annamaria Scherzl Marco Klein Norbert Hoffmann M. Stender 37 1 0 08 Jan 2024
Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks Pouyan Sajadi M. Rahmani Dehaghani Yifan Tang G. G. Wang PINN AI4CE 33 0 0 04 Jan 2024
Wave Physics-informed Matrix Factorizations Harsha Vardhan Tetali J. Harley B. Haeffele 70 1 0 21 Dec 2023
Filtered Partial Differential Equations: a robust surrogate constraint in physics-informed deep learning framework Dashan Zhang Yuntian Chen Shiyi Chen AI4CE 78 2 0 07 Nov 2023
Overview of Physics-Informed Machine Learning Inversion of Geophysical Data Gerard T. Schuster Shihang Feng 63 0 0 12 Oct 2023
On Training Derivative-Constrained Neural Networks KaiChieh Lo Daniel Huang 81 3 0 02 Oct 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 114 0 0 27 Sep 2023
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs Elham Kiyani M. Kooshkbaghi K. Shukla R. Koneru Zhen Li L. Bravo A. Ghoshal George Karniadakis M. Karttunen AI4CE 62 4 0 18 Jul 2023
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction Bo Wang •. A. K. Qin S. Shafiei Hussein Dia Adriana-Simona Mihaita Hanna Grzybowska PINN AI4CE 45 2 0 08 Jul 2023
On the Interplay of Subset Selection and Informed Graph Neural Networks Niklas Breustedt Paolo Climaco Jochen Garcke J. Hamaekers Gitta Kutyniok D. Lorenz Rick Oerder Chirag Varun Shukla 60 0 0 15 Jun 2023
An information field theory approach to Bayesian state and parameter estimation in dynamical systems Kairui Hao Ilias Bilionis 48 4 0 03 Jun 2023
A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data Elham Kiyani K. Shukla George Karniadakis M. Karttunen 65 22 0 18 May 2023
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions Michael Penwarden Ameya Dilip Jagtap Shandian Zhe George Karniadakis Robert M. Kirby PINN AI4CE 80 61 0 28 Feb 2023
Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks P. C. D. Leoni Lokahith Agasthya M. Buzzicotti Luca Biferale AI4CE 16 9 0 18 Jan 2023
Utilising physics-guided deep learning to overcome data scarcity Jinshuai Bai Laith Alzubaidi Qingxia Wang E. Kuhl Bennamoun Yuantong T. Gu PINN AI4CE 72 4 0 24 Nov 2022
Convergence analysis of unsupervised Legendre-Galerkin neural networks for linear second-order elliptic PDEs Seungchan Ko S. Yun Youngjoon Hong 75 5 0 16 Nov 2022
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks Junwoo Cho Seungtae Nam Hyunmo Yang S. Yun Youngjoon Hong Eunbyung Park PINN AI4CE 46 8 0 16 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 123 98 0 15 Nov 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey Shudong Huang Wentao Feng Chenwei Tang Jiancheng Lv AI4CE AIMat 77 21 0 27 Oct 2022
A Dimension-Augmented Physics-Informed Neural Network (DaPINN) with High Level Accuracy and Efficiency Weilong Guan Kai-Ping Yang Yinsheng Chen Zhong Guan PINN AI4CE 67 13 0 19 Oct 2022
Semi-analytic PINN methods for singularly perturbed boundary value problems G. Gie Youngjoon Hong Chang-Yeol Jung PINN 70 6 0 19 Aug 2022
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers Namgyu Kang Byeonghyeon Lee Youngjoon Hong S. Yun Eunbyung Park PINN AI4CE 63 16 0 26 Jul 2022
Unsupervised Legendre-Galerkin Neural Network for Singularly Perturbed Partial Differential Equations Junho Choi N. Kim Youngjoon Hong AI4CE 91 0 0 21 Jul 2022
Spiking Neural Operators for Scientific Machine Learning Adar Kahana Qian Zhang Leonard Gleyzer George Karniadakis 65 9 0 17 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 131 41 0 16 May 2022
Inferring electrochemical performance and parameters of Li-ion batteries based on deep operator networks Qi Zheng Xiaoguang Yin Dongxiao Zhang 68 11 0 06 May 2022
Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling Huaiqian You Quinn Zhang Colton J. Ross Chung-Hao Lee Yue Yu AI4CE 100 107 0 15 Mar 2022
Respecting causality is all you need for training physics-informed neural networks Sizhuang He Shyam Sankaran P. Perdikaris PINN CML AI4CE 154 203 0 14 Mar 2022
Physics-informed neural networks for solving parametric magnetostatic problems Andrés Beltrán-Pulido Ilias Bilionis D. Aliprantis 83 36 0 08 Feb 2022
PINNs for the Solution of the Hyperbolic Buckley-Leverett Problem with a Non-convex Flux Function W. Diab M. A. Kobaisi PINN 23 6 0 29 Dec 2021
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method P. Chiu Jian Cheng Wong C. Ooi M. Dao Yew-Soon Ong PINN 75 219 0 29 Oct 2021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks Jian Cheng Wong C. Ooi Abhishek Gupta Yew-Soon Ong AI4CE PINN SSL 79 82 0 20 Sep 2021
A novel meta-learning initialization method for physics-informed neural networks Xu Liu Xiaoya Zhang Wei Peng Weien Zhou Wen Yao AI4CE 73 76 0 23 Jul 2021
Wave-Informed Matrix Factorization with Global Optimality Guarantees Harsha Vardhan Tetali J. Harley B. Haeffele 55 1 0 19 Jul 2021